Patreon

Senior Machine Learning Engineer, Safety

Patreon1 months ago
Location

Remote

Workplace

Remote

Type

Full Time

Salary

USD 212,000 – 318,000

Level

Senior

Role

Machine Learning Engineer

Posted

Feb 3, 2026

Full TimeRemoteSenior

The role

Summary

Patreon is seeking a Senior Machine Learning Engineer for their Safety Engineering team, focusing on developing advanced ML models to reduce platform risks, detect fraud, and maintain account integrity. The ideal candidate will have end-to-end machine learning experience, strong Python skills, and a passion for using technology responsibly to protect creators.

What you'll do

ML Model Development: Explore data and develop machine learning models to identify and reduce platform risks
Cross-Functional Collaboration: Partner with product, engineering, design, legal, and Trust & Safety teams to design practical ML solutions
Data Preparation: Analyze and prepare training data, including working with crowdsourced labeling and human-in-the-loop processes
Model Deployment: Own the full lifecycle from model concept to production, including backend code support
Performance Monitoring: Build observability into models, debug performance gaps, and continuously improve based on real-world results

What we look for

Technical

Machine Learning ExperienceProven track record of end-to-end machine learning system development
Programming SkillsAbility to write clean, reliable production code in Python or similar languages

Education

Advanced DegreeMasters in Computer Science, Computer Engineering, or related field

Experience

Professional ExperienceMinimum of 5 years of Machine Learning experience or equivalent advanced degree

Skills

Required skills

Machine LearningExtensive experience in developing end-to-end machine learning systems, from data exploration to model deployment
PythonProficiency in writing clean, production-ready Python code
Model DevelopmentExperience in prototyping, training, and iterating machine learning models
Data PreparationAbility to analyze and prepare training data, including working with crowdsourced labeling

Nice to have

Trust & SafetyBackground or interest in applying machine learning to platform safety and risk mitigation
ExperimentationExperience with A/B testing and model performance evaluation

Compensation & benefits

Salary

USD 212,000 – 318,000 (annual)

Stock options

Available

Benefits

Healthcare

Comprehensive health insurance coverage

Equity

Stock equity plans for employees

Flexible Time Off

Flexible time off policy with company holidays

Learning Stipend

Professional development and learning stipends

Lifestyle Stipend

Additional lifestyle and wellness benefits

401k

401k retirement plan with company matching

Parental Leave

Comprehensive parental leave policy


Interview process

  1. 1
    Initial Screening Phone or video call with recruiter to discuss background and role fit
  2. 2
    Technical Interview In-depth technical discussion about machine learning experience and problem-solving approach
  3. 3
    ML System Design Interview focused on designing machine learning solutions for complex problems
  4. 4
    Team Fit Interview Meetings with team members to assess cultural and collaborative fit
  5. 5
    Final Interview Comprehensive discussion with hiring manager about role expectations and candidate's potential

Apply for this position

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